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Quantitative Risk Jobs in Dallas, TX (NOW HIRING)

FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams to maintain an integrated and comprehensive approach to financial risk management at DTCC to support ...

FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams to maintain an integrated and comprehensive approach to financial risk management at DTCC to support ...

Program Risk Analyst

Dallas, TX · On-site +1

$85K - $100K/yr

Develop quantitative integrated cost and schedule Program risk models using risk software and analyze results. * Prepare program risk communications (memos), risk dashboards, Risk Assessment reports ...

Develop quantitative integrated cost and schedule Program risk models using risk software and analyze results. * Prepare program risk communications (memos), risk dashboards, Risk Assessment reports ...

A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. * Familiarity with Excel, SQL, Python ...

A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. * Familiarity with Excel, SQL, Python ...

A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. * Familiarity with Excel, SQL, Python ...

FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams to maintain an integrated and comprehensive approach to financial risk management at DTCC to support ...

Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. * Create rubrics to assess model capabilities on ...

Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. * Create rubrics to assess model capabilities on ...

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Quantitative Risk information

See Dallas, TX salary details

$30.7K

$89.6K

$144.4K

How much do quantitative risk jobs pay per year?

As of Jun 14, 2026, the average yearly pay for quantitative risk in Dallas, TX is $89,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,600.00 and $117,700.00 per year, depending on experience, location, and employer.

What is an example of a quantitative risk?

A quantitative risk in a risk analyst role involves measuring potential financial losses using numerical data, such as calculating the probability and impact of market fluctuations on investment portfolios. This often requires skills in statistical analysis, modeling, and tools like Excel or specialized risk management software.

How much do risk quants get paid?

Risk quants typically earn between $100,000 and $200,000 annually, with senior professionals and those in major financial centers earning higher salaries. Compensation often includes bonuses and depends on experience, education, and technical skills such as programming and statistical analysis.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the size of the employer. Senior roles or those with advanced skills in programming and risk modeling can earn higher compensation, often exceeding $200,000 with bonuses and incentives.

How do Quantitative Risk professionals typically collaborate with other departments within a financial institution?

Quantitative Risk professionals frequently work with various teams such as trading, portfolio management, compliance, and IT. This collaboration helps ensure that risk models accurately reflect real-world exposures and regulatory standards. Effective communication is key, as Quantitative Risk staff must translate complex data and models into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and project-based collaborations are common, promoting a dynamic and integrated work environment.

What is the difference between Quantitative Risk vs Quantitative Analyst?

AspectQuantitative RiskQuantitative Analyst
Primary FocusAssessing and managing financial risks using quantitative methodsDeveloping models and strategies to analyze financial data and inform investment decisions
Required CredentialsOften requires risk management certifications (FRM, PRM), advanced degrees in finance, mathematics, or statisticsTypically requires degrees in finance, economics, mathematics, or related fields; certifications like CFA may be common
Work EnvironmentFinancial institutions, risk management departments, banksInvestment firms, hedge funds, banks, financial services companies

Quantitative Risk professionals focus on identifying and mitigating financial risks through specialized models, while Quantitative Analysts develop analytical models to support trading, investment, and financial decision-making. Both roles require strong quantitative skills and often similar educational backgrounds, but their core objectives differ: risk management versus financial analysis and strategy development.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a finance professional who uses mathematical models and statistical techniques to assess and manage financial risks for organizations, particularly in banking, investment, and insurance sectors. They analyze data, develop risk models, and help companies make informed decisions to minimize potential losses. Their work involves programming, data analysis, and communicating complex risk scenarios to stakeholders. Quantitative Risk Analysts play a crucial role in ensuring that organizations remain financially stable and compliant with regulatory requirements.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst, and why are they important?

To thrive as a Quantitative Risk Analyst, you need strong analytical skills, expertise in statistics and mathematics, and a relevant degree such as finance, mathematics, or engineering. Familiarity with statistical software (such as R, Python, or SAS), risk modeling tools, and industry certifications like FRM or CFA is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting strategic decisions, and ensuring the financial stability of organizations.

What jobs make $1,000,000 a year?

In the field of quantitative risk, high-level roles such as Chief Risk Officer or senior quantitative risk managers at large financial institutions can earn over $1 million annually through base salary, bonuses, and incentives. These positions typically require advanced degrees, extensive experience, and strong skills in risk modeling, data analysis, and financial regulations. Compensation at this level is often tied to company performance and individual contributions.
What are the most commonly searched types of Quantitative Risk jobs in Dallas, TX? The most popular types of Quantitative Risk jobs in Dallas, TX are:
What are popular job titles related to Quantitative Risk jobs in Dallas, TX? For Quantitative Risk jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk jobs in Dallas, TX look for? The top searched job categories for Quantitative Risk jobs in Dallas, TX are:
Director, Quantitative Risk Management

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Job description

What You'll Do:

This role directs the development, implementation, testing and maintenance of models used for margin, clearing fund and stress testing. The range of responsibilities, varies depending on his/her focus within QRM, that includes research and development of significant model features, leading prototype development and testing, designing tools for model performance monitoring, managing or providing technical leadership for model prototypes, implementing and supporting integration of model code library into OCC risk systems. This role will work closely with risk managers in Financial Risk Management and partners in other areas, including Information Technology, Model Validation, and Compliance.

Primary Duties and Responsibilities:

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

  • Direct, lead and review development and implementation of models for pricing, margin risk and stress testing of financial products and derivatives |Oversee analysis of new products and drive their implementation at OCC

  • Research and present model alternatives based on the academic literature, industry best practices, data analysis and model prototyping

  • Produce high quality whitepapers and technical documentation following QRM's procedures and templates

  • Develop standards, procedures and tools for model performance monitoring and communicate results to peers and leadership

  • Lead and direct implementation of the model development tools in QRM supporting model analysis and backtesting

  • Lead and direct implementation of the model analytics in the QRM Library

  • Partner with IT and other departments delivering QRM analytics to production

  • Provide production support, participate in troubleshooting and analysis of model, system and data issues

  • Lead remediation of Model Validation or regulatory findings

  • Prepare and present materials supporting management and regulatory inquiries

  • Provide intellectual leadership promoting innovation and learning

Supervisory Responsibilities:

  • Manage a team of finacial engineers/model developers

Qualifications:

The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.

  • [Required] Financial mathematics (derivatives pricing models, stochastic calculus, statistics and probability theory, advanced linear algebra)

  • [Required] Econometrics, data analysis (e.g., time series analysis, GARCH, fat-tailed distributions, copula, etc.) and machine learning techniques

  • [Required] Numerical methods and optimization; Monte Carlo simulation and finite difference techniques

  • [Required] Risk management methods (value-at-risk, expected shortfall, stress testing, backtesting, scenario analysis)

  • [Required] Financial products knowledge: seasoned level in understanding of markets and financial derivatives in equities, interest rate, and commodity products

  • [Required] Seasoned level in programing skills. Advanced proficiency in using a programming language (e.g., Java, C++, Python, R, MATLAB, etc.) in a collaborative software development setting. Model development and prototyping requires advanced development skills in Python and data mining

  • [Required] Strong problem-solving skills: be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources

  • [Required] Ability to challenge model methodologies, model assumptions, and validation approach

  • [Required] Seasoned level in technical and scientific documentation (e.g., whitepapers, user guides, etc.)

Technical Skills:

  • [Required] Expert in database technology, query languages (such as SQL), and efficient storage and serialization protocols

  • [Required] For model development and prototyping role: expert in a scripting language such as Python, R or MATLAB

  • [Required] Experience with numerical libraries and/or scientific computing including numerical optimizers (e.g. NAG, MATLAB)

  • [Required] Experience with automated testing frameworks (e.g., Junit, TestNG, PyTest, etc.)

  • [Required] Experience with CI/CD and DevOps tools (e.g., Git, GitHub and various profiling and telemetry tools) is required for model implementation and application development.

  • [Required] Experience with high performance computing, distributed computation engines and cloud computing

  • [Required] Advanced proficiency in office technology such as PowerPoint, Confluence, Latex, Word, and Excel

Education and/or Experience:

  • [Required] Master's degree or equivalent in a quantitative field such as computer science, mathematics, physics, finance/financial engineering

  • [Preferred] PhD degree in one of the above fields

  • [Required] 10+ years of experience of quantitative research and/or model implementation in finance

  • [Required] 5+ years of experience in people management

Certificates or Licenses:

  • [Preferred] FRM, CFA, etc.

About Us

The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.

Benefits

A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:

  • A hybrid work environment, up to 2 days per week of remote work
  • Tuition Reimbursement to support your continued education
  • Student Loan Repayment Assistance
  • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
  • Generous PTO and Parental leave
  • 401k Employer Match
  • Competitive health benefits including medical, dental and vision

Visit https://www.theocc.com/careers/thriving-together for more information.

Compensation

  • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.
  • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.
  • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers
  • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.

Salary Range

$177,300.00 - $288,400.00

Incentive Range

23% to 30%

This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.

Step 1
When you find a position you're interested in, click the 'Apply' button. Please complete the application andattach your resume.

Step 2
You will receive an email notification to confirm that we've received your application.

Step 3
If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location.

For more information about OCC, please click here.

OCC is an Equal Opportunity Employer